A neural network approach to high performance analog circuit design


Journal Article

In order to gain new insight into the design of high-precision, high-speed analog circuits, several possible network implementations of an A/D converter are presented. These networks are marked by programmability and parallelism, which can be used to maintain circuit precision without the use of feedback. This removes design constraints on closed-loop stability, and may lead to faster circuit performance. On-chip training or calibration is likely to be necessary, but can be done in an offline mode, and thus may not hinder circuit speed significantly.

Duke Authors

Cited Authors

  • Sculley, TL; Brooke, MA

Published Date

  • December 1, 1990

Published In

  • Midwest Symposium on Circuits and Systems

Start / End Page

  • 497 - 500

Citation Source

  • Scopus